Continuous Conditional Random Field Convolution for Point Cloud Segmentation
Fei Yang,
Franck Davoine,
Huan Wang
et al.
Abstract:Point cloud segmentation is the foundation of 3D environmental perception for modern intelligent systems. To solve this problem and image segmentation, conditional random fields (CRFs) are usually formulated as discrete models in label space to encourage label consistency, which is actually a kind of postprocessing. In this paper, we reconsider the CRF in feature space for point cloud segmentation because it can capture the structure of features well to improve the representation ability of features rather tha… Show more
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